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Proceedings Paper

Pattern Recognition With A Spiral Sampling Technique
Author(s): Constantine Katsinis; Alexander Poularikas
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Paper Abstract

This paper examines the pattern recognition potential of spiral sampling applied on gray - scale, noisy images. Image pixels are rearranged into a one dimensional sequence by selecting samples in a spiral manner starting from the edge of the image and proceeding toward the center. The properties of this sample sequence are examined by Fourier transform analysis, using images from a number of groups, with varying contrast, orientation and size. The classification ability of features extracted from spiral sequences and their accuracy are investigated.

Paper Details

Date Published: 13 October 1987
PDF: 5 pages
Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); doi: 10.1117/12.976487
Show Author Affiliations
Constantine Katsinis, University of Alabama (United States)
Alexander Poularikas, University of Alabama (United States)

Published in SPIE Proceedings Vol. 0845:
Visual Communications and Image Processing II
T. Russell Hsing, Editor(s)

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